The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 859, P. 160393 - 160393
Published: Nov. 22, 2022
Language: Английский
The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 859, P. 160393 - 160393
Published: Nov. 22, 2022
Language: Английский
Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 447, P. 137501 - 137501
Published: June 13, 2022
Language: Английский
Citations
166Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 445, P. 136579 - 136579
Published: April 26, 2022
Language: Английский
Citations
144Bioresource Technology, Journal Year: 2022, Volume and Issue: 365, P. 128143 - 128143
Published: Oct. 17, 2022
Language: Английский
Citations
119Bioresource Technology, Journal Year: 2022, Volume and Issue: 360, P. 127517 - 127517
Published: June 27, 2022
Language: Английский
Citations
101Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 448, P. 137677 - 137677
Published: June 20, 2022
Language: Английский
Citations
91Bioresource Technology, Journal Year: 2022, Volume and Issue: 370, P. 128547 - 128547
Published: Dec. 28, 2022
Language: Английский
Citations
90Bioresource Technology, Journal Year: 2022, Volume and Issue: 355, P. 127215 - 127215
Published: April 23, 2022
In this study, an integrated framework of artificial neural networks (ANNs) and metaheuristic algorithms have been developed for the prediction biochar yield using biomass characteristics pyrolysis process conditions. Comparative analysis six different was performed to optimize ANN architecture select important features. The results suggested that model coupled with Rao-2 algorithm outperformed (R2 ∼ 0.93, RMSE 1.74%) all other models. Furthermore, detailed information behind models acquired, identifying most influencing factors as follows: temperature (56%), residence time (23%), heating rate (8%). partial dependence plot revealed how each factor affected target variable. Finally, easy-to-use software tool predicting built ANN-Rao-2 model. This study demonstrates huge potential machine learning presents in predictive modelling complex processes, reduces time-consuming expensive experimental work estimating yield.
Language: Английский
Citations
86Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 187, P. 113754 - 113754
Published: Sept. 23, 2023
The thermochemical conversion of biomass is potentially vital to meeting global demand for sustainable transport fuels so besides combustion; torrefaction, liquefaction, pyrolysis and gasification are reviewed. merits demerits these processes examples industrial applications evaluated, two promising avenues future development identified. upgrading via processing will depend on sector coupling, both within the energy with sectors such as food production. Owing environmental constraints need maintain production, availability traditional feedstocks biofuels, corn, be limited in future. Now given ambitious targets aviation fuel – a higher quality reserving appropriate necessary. Such policy would open opportunities commercial production liquid liquefaction pyrolysis. second avenue opportunity links fact that form wooden pellets has established itself an essential fuel. In UK elsewhere, it already contributing decarbonisation electricity grids. So worldwide, positive combustion, aided where by envisaged increasingly crucial abatement greenhouse gas emissions. Alongside battery storage pumped hydroelectric storage, contribution processes, tackling problem arising from intermittent nature wind solar been clarified first time.
Language: Английский
Citations
77ACS Sustainable Chemistry & Engineering, Journal Year: 2023, Volume and Issue: 11(6), P. 2033 - 2049
Published: Feb. 3, 2023
The disposal of plastic waste is currently one the major global issues affecting environmental balance and mankind. It therefore crucial to turn into value-added products. Thermochemical recycling techniques have been researched extensively generate fuels, monomers, other has determined that pyrolysis an effective method for chemical recycling. Plastic wastes are transformed products including liquid oil, gas, solid residues during thermal breakdown. Low-quality oil gaseous also produced through pyrolysis, which demands a long retention period high temperature. Catalytic helps deal with these problems. To obtain higher quantities fuel in form or varieties catalysts, such as natural zeolite, Y-zeolite, HZSM-5, ZSM-5, FCC, mud, Ca(OH)2, Al2O3, Fe2O3, used. present Perspective aims briefly unveil recent developments catalytic waste. primarily focuses on impact yields composition well their further applications. Also, extensive review techno-economic assessment based capital operating cost, utilization coproducts, fuel, feedstock logistics presented.
Language: Английский
Citations
74Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 446, P. 137116 - 137116
Published: May 23, 2022
Language: Английский
Citations
71